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Assistant Vice President, Healthcare Data & AI

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Vizient, Inc
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 155000 - 225000 USD Yearly USD 155000.00 225000.00 YEAR
Job Description & How to Apply Below
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
** The Organization
** We help society’s foundational healthcare institutions to achieve their full potential in service to others.

We are our clients’ trusted partners in ever-changing times. For nearly 40 years, Kaufman Hall has provided independent, objective insights grounded in sound data and analysis to help clients fulfill their missions, achieve their goals, and tackle their toughest problems.

Kaufman Hall provides world-class management consulting in Strategy & Business Transformation, Financial Planning & Data Analytics, Treasury & Capital Markets, Mergers & Acquisitions, Revenue & Operations Improvement, and Clinical Solutions.

At Kaufman Hall, we believe that sustained success is never an accident. It is the result of sound decision making, based on data-driven analysis and disciplined thinking, and guided by the fundamental principles of corporate finance.
** The Position
** Kaufman, Hall & Associates, LLC, is seeking an AVP, Healthcare Data and AI, to support the development, implementation, and ongoing enhancement of Kaufman Hall's next generation healthcare insights capability, and to support the development of Kaufman Hall’s overall data strategy.

This role will focus on applying data science, advanced analytics, and AI-enabled tooling to support the development of a scalable platform that helps consultants access, analyze, and apply complex healthcare data and insights. The AVP, Data and AI, will play a critical role in designing and maintaining the analytical foundation, including data models, analytical methodologies, AI-enabled capabilities, benchmarking approaches, and other technical components that support the platform.

In addition, as Kaufman Hall develops a future-focused data strategy, this role will play a key leadership role in identifying gaps in data access, availability and coordination, and identifying opportunities to enhance Kaufman Hall’s overall data platform.

The successful candidate will collaborate closely with the Innovation and Insights team, healthcare subject-matter experts, business stakeholders, and other technology partners to translate business needs into analytical solutions. This role will support the ongoing evolution of Kaufman Hall’s Insight Engine by developing innovative approaches for organizing, analyzing, and deriving value from complex healthcare datasets. We seek a technically curious and analytically rigorous individual who is excited about applying advanced data science techniques to create meaningful business value in the healthcare industry while working in a fast-paced and entrepreneurial environment.
** Key Responsibilities
*** Develop, deploy, and maintain analytical models, algorithms, AI-enabled capabilities, and other data science solutions that support healthcare benchmarking, performance analysis, entity relationships, and intelligence generation within Kaufman Hall’s Insight Engine.
* Support development of a cohesive Kaufman Hall data strategy, enabling required data and access mechanisms, and ensuring coordination of data assets across practices.
* Collaborate with the Innovation and Insights team to translate healthcare data, business requirements, and consulting needs into scalable analytical solutions that support Insight Engine functionality, use cases, and decision-making.
*…
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